摘要
为了提高检索的精度，一些新的搜索引擎给常见查询（AFQs）提供手动验证。一个基本的任务是确定的常见查询。本文介绍我们尝试根据自己的内容集束类似查询，以及用户日志。我们的初步结果表明，所产生的集群对常见查询鉴定提供信息。
分类和主题描述
聚类，引用和链接分析，交互检索
一般术语
算法，性能
关键字
查询聚类， Web数据挖掘，用户日志，搜索引擎
ABSTRACT
In order to increase retrieval precision, some new search engines provide manually verified answers to Frequently Asked Queries (FAQs). An underlying task is the identification of FAQs. This paper describes our attempt to cluster similar queries according to their contents as well as user logs. Our preliminary results show that the resulting clusters provide useful information for FAQ identification.
Categories and Subject Descriptors
Clustering, Citation and link analysis, Interactive IR
General Terms
Algorithms, Performance
Keywords
Query clustering, web data mining, user log, search engine
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